Low-illumination image enhancement method based on improved Retinex and logarithm image processing

An image processing and image enhancement technology, applied in image enhancement, image data processing, image analysis, etc., can solve problems such as scenes that cannot meet complex lighting, color distortion, etc., to solve the effect of halo effect and over-enhancement

Active Publication Date: 2019-10-01
SUN YAT SEN UNIV
View PDF7 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the existing improved Retinex algorithm in the process of image processing, there are technical defects that cannot satisfy complex lighting scenes and color distortion, and provide a low-illuminance image enhancement method based on improved Retinex and logarithmic image processing

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Low-illumination image enhancement method based on improved Retinex and logarithm image processing
  • Low-illumination image enhancement method based on improved Retinex and logarithm image processing
  • Low-illumination image enhancement method based on improved Retinex and logarithm image processing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0044] Such as figure 1 Shown, based on the low illumination image enhancement method of improved Retinex and logarithmic image processing, it is characterized in that, comprises the following steps:

[0045] S1: Calculate the bright channel value of the sample image, and use this value as the illumination component of the sample image;

[0046] S2: Use the background intensity under the existing logarithmic image processing model to perform adaptive local adjustment on the illumination component;

[0047] S3: Combining with the Sobel edge detection method, filter and refine the locally adjusted illumination components;

[0048] S4: According to the refined illumination component, the enhanced image is obtained based on the Retinex theory.

[0049] In the specific implementation process, this method combines the Retinex theory under the existing logarithmic image processing model to strengthen the sample image, effectively solving the halo effect and over-enhancement problem...

Embodiment 2

[0051] More specifically, on the basis of Example 1, the image collected by any image acquisition device is used as a sample image, and based on the bright channel prior theory, the sample image is separated into color channels, and the three color channel images are compared pixel by pixel. , extract the maximum pixel point and save it as the maximum value image; then perform maximum value filtering on the obtained maximum value image, so as to obtain the illumination component of the sample image, the result is as follows figure 2 shown.

[0052] In the specific implementation process, based on the logarithmic image processing model, the illumination component of the sample image is converted into an expression under the logarithmic image processing model, that is, the gray value of the sample image is expressed as:

[0053] f(x,y)=M-I(x,y);

[0054] In the above formula, I(x, y) represents the pixel value of the sample image, f(x, y) is the gray value of the image under t...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a low-illumination image enhancement method based on improved Retinex and logarithmic image processing. The low-illumination image enhancement method comprises the following steps: calculating a bright channel value of a sample image, and taking the value as an illumination component of the sample image; performing self-adaptive local adjustment on the illumination componentby utilizing background intensity under an existing logarithmic image processing model; in combination with a Sobel edge detection method, carrying out filtering refinement on the locally adjusted illumination component; and obtaining an enhanced image based on a Retinex theory according to the refined illumination component. The invention provides a low-illumination image enhancement method based on improved Retinex and logarithmic image processing, being characterized in that the Retinex theory is combined under an existing logarithmic image processing model, so as to enhance a sample imageand effectively solve the problems that a Retinex algorithm may have a halo effect and is too enhanced, and the low-illumination image enhancement method can adapt to more diverse illumination environments.

Description

technical field [0001] The invention relates to the technical field of computer digital image processing, and more specifically, relates to a low-illuminance image enhancement method based on improved Retinex and logarithmic image processing. Background technique [0002] At present, various optical imaging devices are widely used in various fields. However, when the brightness of the ambient light is low or the sensitivity of the optical sensor is low, the image formed by the imaging device has degradation problems such as insufficient brightness and reduced contrast, which leads to The appearance of problems such as image perception degradation or affecting the analysis and recognition of digital image processing systems. Therefore, it is necessary to study image enhancement algorithms under low illumination, so that the optical imaging system can be applied to scenes lacking illumination. [0003] Retinex is a classic algorithm for low-light image enhancement. This algor...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T7/13
CPCG06T5/008G06T7/13
Inventor 谭洪舟何彦东邓铭豪陈荣军谢舜道苏宏雄朱雄泳曾衍瀚
Owner SUN YAT SEN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap